A Low Area Overhead NBTI/PBTI Sensor for SRAM Memories

被引:14
|
作者
Karimi, Maryam [1 ]
Rohbani, Nezam [1 ]
Miremadi, Seyed-Ghassem [1 ]
机构
[1] Sharif Univ Technol, Dept Comp Engn, Tehran 1136511155, Iran
关键词
Bias temperature instability (BTI); reliability; SRAM; static noise margin (SNM) degradation; NBTI DEGRADATION; IMPACT; TRANSISTOR;
D O I
10.1109/TVLSI.2017.2734839
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Bias temperature instability (BTI) is known as one serious reliability concern in nanoscale technologies. BTI gradually increases the absolute value of threshold voltage (Vth) of MOS transistors. The main consequence of Vth shift of the SRAM cell transistors is the static noise margin (SNM) degradation. The SNM degradation of SRAM cells results in bit-flip occurrences due to transient faults and should be monitored accurately. This paper proposes a sensor called write current-based BTI sensor (WCBS) to assess the BTI-aging state of SRAM cells. The WCBS measures BTI-induced SNM degradation of SRAM cells by monitoring the maximum write current shifts due to BTI. The observations show that the maximum current consumption during write operation is an effective identifier to measure Vth and SNM shifts. The granularity of BTI assessment of one cell up to a row of memory can be achieved by writing special bit patterns on the memory block during the test. We evaluated the sensor through SPICE-level simulations in 32-nm technology size. The precision of WCBS is about +/- 1.25 mV (+/- 3.2% error). One sensor is enough for the entire SRAM memory block with negligible area/power overhead; less than 1%. The effects of process variation and temperature changes on WCBS are investigated in detail.
引用
收藏
页码:3138 / 3151
页数:14
相关论文
共 50 条
  • [41] Forget Failure: Exploiting SRAM Data Remanence for Low-overhead Intermittent Computation
    Williams, Harrison
    Jian, Xun
    Hicks, Matthew
    TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV), 2020, : 69 - 84
  • [42] Low-Overhead Implementation of a Soft Decision Helper Data Algorithm for SRAM PUFs
    Maes, Roel
    Tuyls, Pim
    Verbauwhede, Ingrid
    CRYPTOGRAPHIC HARDWARE AND EMBEDDED SYSTEMS - CHES 2009, PROCEEDINGS, 2009, 5747 : 332 - 347
  • [43] Stream: Low overhead wireless reprogramming for sensor networks
    Panta, Rajesh Krishna
    Khalil, Issa
    Bagchi, Saurabh
    INFOCOM 2007, VOLS 1-5, 2007, : 928 - +
  • [44] A Low-Overhead Integrated Aging and SEU Sensor
    Rohbani, Nezam
    Miremadi, Seyed-Ghassem
    IEEE TRANSACTIONS ON DEVICE AND MATERIALS RELIABILITY, 2018, 18 (02) : 205 - 213
  • [45] Low overhead assignment of symbolic coordinates in sensor networks
    Gauger, Matthias
    Marron, Pedro Jose
    Kauker, Daniel
    Rothermel, Kurt
    WIRELESS SENSOR AND ACTOR NETWORKS, 2007, : 179 - +
  • [46] Low overhead assignment of symbolic coordinates in sensor networks
    Matthias Gauger
    Pedro José Marrón
    Daniel Kauker
    Kurt Rothermel
    Telecommunication Systems, 2009, 40 : 117 - 128
  • [47] Low overhead assignment of symbolic coordinates in sensor networks
    Gauger, Matthias
    Marron, Pedro Jose
    Kauker, Daniel
    Rothermel, Kurt
    TELECOMMUNICATION SYSTEMS, 2009, 40 (3-4) : 117 - 128
  • [48] Data path synthesis for BIST with low area overhead
    Li, XW
    Cheung, PYS
    PROCEEDINGS OF ASP-DAC '99: ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE 1999, 1999, : 275 - 278
  • [49] Run Time Vth Extraction Based On-chip NBTI Mitigation Sensor for 6T SRAM Cell
    Raghuwanshi, Kuldeep
    Sanvale, Prachi
    Sharma, Kratika
    Neema, Vaibhav
    Singh, Praveen
    PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRON DEVICES KOLKATA CONFERENCE (IEEE EDKCON), 2018, : 288 - 293
  • [50] Content-Aware Low-Power Configurable Aging Mitigation for SRAM Memories
    Shafique, Muhammad
    Khan, Muhammad Usman Karim
    Henkel, Joerg
    IEEE TRANSACTIONS ON COMPUTERS, 2016, 65 (12) : 3617 - 3630